Abstract
A single-equation model is developed and employed for forecasting industrial electric energy consumption in the Saudi Consolidated Electric Company in the Eastern Province (SCECO-East) of Saudi Arabia. SCECO-East's industrial loads are composed mainly of oil-related and petrochemical industries. Even though industrial loads are generally characterized by their steadiness, the harsh weather conditions of the Eastern Province cause great variations in the industrial electric energy consumption at SCECO-East. The developed model reflects these variations. MATLAB is used to solve the model.
| Original language | English |
|---|---|
| Pages (from-to) | 719-726 |
| Number of pages | 8 |
| Journal | International Journal of Energy Research |
| Volume | 24 |
| Issue number | 8 |
| DOIs | |
| State | Published - 25 Jun 2000 |
Keywords
- Electrical energy
- Forecasting
- Polynomial fit
ASJC Scopus subject areas
- Renewable Energy, Sustainability and the Environment
- Nuclear Energy and Engineering
- Fuel Technology
- Energy Engineering and Power Technology